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We aim to automatically classify images into specific scene types, such as “beach”, “forest”, “city street”, or “office”. This can provide a nuanced understanding of different environments, improve content- based image retrieval, enhance autonomous navigation, and support detailed analytics in industries such as tourism, marketing, and real estate. The target audience would be developers and companies in media organizations, content-based search, autonomous vehicle navigation, and location-based services.

Most of the Implementation is under the CNN Implementation Branch

This project involves developing an AI-powered Open-Source Intelligence (OSINT) platform to detect and combat misinformation on social media. It uses machine learning, NLP, and computer vision techniques to analyze textual and visual content, providing real-time alerts and insights to enhance public trust.

i dont know what i am doing just trying to study for the final

An open-source method for analysis of confocal calcium imaging with sparse cells

https://ece5554cvproject.azurewebsites.net/